A set of 10, chosen medicinal plants (some of them with a reputation as remedies for tuberculosis) has been investigated through Partitioned Iterated Function Systems-Semi Fractals with Angle (PIFS-SFA) coding, Lempel, Ziv, Welch with quantization and noise (LZW-QN) compression, and surface density statistics (f(α)-SDS) discrimination techniques. The final outcomes of this quantitative analysis were, firstly: the linear ordering of the plants in question accompanied by the hope that it reflects their medical significance, secondly: the mathematical representation of each of the plants, and thirdly: the impressive compression achieved, leading to remarkable computer memory saving, and still permitting successful pattern recognition i.e., proper identification of the plant from the compressed image.
Research Article| June 22 2006
On the Mathematical Reconstruction of Two Dimensional Plants
Zbigniew J. Grzywna;
Biosci Rep (2006) 26 (2): 113–129.
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Zbigniew J. Grzywna, Przemysław Borys, Gabriela Dudek; On the Mathematical Reconstruction of Two Dimensional Plants. Biosci Rep 22 June 2006; 26 (2): 113–129. doi: https://doi.org/10.1007/s10540-006-9011-2
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